Snowflake signs $200M deal with Anthropic

AI Data Cloud company Snowflake and Anthropic have expanded their partnership with a new $200 million agreement.

Under this agreement, Anthropic’s Claude models will be available in the Snowflake platform to more than 12,600 global customers across all three major clouds and will also establish a joint global go-to-market (GTM) initiative focused on deploying AI agents across enterprises.

This expanded partnership builds on Snowflake and Anthropic’s existing work together, where Snowflake customers are already processing trillions of Claude tokens per month through Snowflake Cortex AI.

This next phase of collaboration is focused on deploying AI agents on Snowflake capable of handling multi-step analysis, powered by Claude's advanced reasoning capabilities and ability to securely handle sensitive data.

This enables understanding extensive context across financial, operational, and customer data, among others, reasoning through it carefully, and showing their work rather than just retrieving an answer. By combining Claude's reasoning with Snowflake's governed data and AI environment, customers in regulated industries like financial services, healthcare, and life sciences can move from pilots to production with confidence, the statement said.

This partnership is expected to bring benefits such as turning data into action, unlock deeper analysis with multimodal AI, build custom, multi-agent solutions, built-In governance and observability etc.

“Anthropic joins a very select group of partners where we have nine-figure alignment, co-innovation at the product level, and a proven track record of executing together for customers worldwide,” said Snowflake CEO Sridhar Ramaswamy.

Snowflake also utilises Anthropic’s Claude Code internally to enhance developer productivity and accelerate innovation across its engineering organization. Claude models also power Snowflake’s internal GTM AI Assistant, built using Snowflake Intelligence, which enables sales teams to centralise data across the organization, ask questions in natural language, and find relevant insights that help accelerate deal cycles.